Artificial Intelligence

Artificial Intelligence (AI) has evolved from a research area within computer science into a rapidly expanding field shaping multiple disciplines and industries. The Artificial Intelligence subject area brings together eBook content covering the latest research from a wide range of perspectives, including theoretical foundations, practical applications, and ethical implications.

From machine learning algorithms that predict human behaviour to neural networks transforming sectors such as healthcare, this subject area provides access to current research and insights from leading scholars. Monographs and conference proceedings present primary research on AI and its applications, while textbooks and handbooks support teaching, learning, and reference needs in this fast evolving field.

Top cited 2025 eBooks

Key topics

  • Machine Learning
  • Deep Learning
  • Knowledge representation
  • Automated reasoning and inference
  • Planning, scheduling, and problem solving
  • Neural Networks
  • Reinforcement Learning
  • Computational Intelligence
  • Generative AI
  • Multi-Agent Systems
  • Computer Vision
  • Natural Language Processing
  • Speech Recognition
  • Intelligent Robotics

Emerging areas

  • AI in Education
  • AI Ethics
  • AI for Healthcare
  • AI for Sciences

Flexible licensing options for this subject area

Book content in this subject area can be licensed through flexible options designed to support different collection strategies and research needs.

Contact a licensing manager for more information.
 

The full subject collection can be licensed through the eBook Collections model, with continuing access to a comprehensive range of research content.

A specialised bundle within this subject area can be licensed through the Focus Bundle model, for a more targeted approach, offering a curated selection of essential titles aligned to specific research priorities or user demand.

About the editors

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Welmoed Spahr serves as the Vice President for the Computer Science Books Group at Springer Nature. This team publishes around 1,500 titles annually, about half of which are conference proceedings. Welmoed has over fifteen years of academic publishing experience. She has a keen interest in AI applications, and in how AI impacts several industries, including publishing.

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Celine Lanlan Chang, is an Editorial Director at Springer Nature and responsible for locating and engaging first-rate authors and editors to develop books in the areas of Artificial Intelligence, Computational Intelligence, Computer Vision, Pattern Recognition, Image Processing, Natural Language Processing. She has been part in the Springer Nature editorial team for 14 years and previously worked as system engineer, software engineer and researcher.

Editor's highlights

Book titles 

Authors

The Future of Education with AI

Vargo, Andrew

Design with Generative AI

Li, Lezhi

AI for Social Science

Torra, Vicenç

Machine Learning Systems

Mai, Luo

Foundations of Deep Learning

Tao, Dacheng